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Credit Risk Data Science Jobs in El Segundo, CA (NOW HIRING)

Oscar Health

Data Scientist II

Los Angeles, CA · Hybrid

$131K - $172K/yr

... risk, build higher-performing provider networks, and create a standout consumer experience in our ... Help ensure data science processes and outputs align with broader team strategies and roadmaps

Yamaha

Global Risk & Analytics Manager

Cypress, CA · Hybrid

$110K - $150K/yr

Use of Data Mining, approved Artificial Intelligence and Machine Learning technologies to analyze businessperformance * Conduct comprehensive analyses to assess levels of credit risk- including ...

Oscar Health

Data Scientist II

Los Angeles, CA · Hybrid

$131K - $172K/yr

... risk, build higher-performing provider networks, and create a standout consumer experience in our ... Help ensure data science processes and outputs align with broader team strategies and roadmaps

Oscar Health

Data Scientist II

Los Angeles, CA · On-site

$131K - $172K/yr

... risk, build higher-performing provider networks, and create a standout consumer experience in our ... Help ensure data science processes and outputs align with broader team strategies and roadmaps

Brookfield

Sr P&C Data Scientist

Los Angeles, CA

... Data Science Execution * Own the endtoend analytical lifecycle for complex initiatives: data ... Follow model development best practices and model risk governance standards Business Partnership ...

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Showing results 21-40

All JobsCredit Risk Data Science JobsCredit Risk Data Science Jobs in El Segundo, CA

Credit Risk Data Science information

See El Segundo, CA salary details

$39.4K

$121.3K

$210.4K

How much do credit risk data science jobs pay per year?

As of Aug 7, 2026, the average yearly pay for credit risk data science in El Segundo, CA is $121,301.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,900.00 and $149,700.00 per year, depending on experience, location, and employer.

How does a credit risk data scientist typically collaborate with other teams within a financial institution?

Credit Risk Data Scientists often work closely with credit analysts, risk managers, and IT professionals to develop, validate, and implement models that assess borrower risk. They frequently participate in cross-functional meetings to translate complex analytical findings into actionable business insights. Collaboration with compliance and regulatory teams is also common to ensure that risk models meet current regulatory standards. Effective communication and teamwork are essential, as the role bridges technical model development and practical risk management decisions.

What is credit risk data science?

Credit Risk Data Science is a specialized field that uses statistical analysis, machine learning, and data modeling techniques to assess and predict the likelihood that a borrower will default on a loan or credit obligation. Professionals in this field analyze large datasets from financial transactions, credit reports, and market trends to develop models that help financial institutions make informed lending decisions. Their work helps manage risk, set appropriate interest rates, and comply with regulatory standards. By leveraging advanced analytics, credit risk data scientists play a crucial role in minimizing losses and maximizing profitability for banks and lenders.

What skills and qualifications are needed to thrive as a credit risk data scientist?

To thrive as a Credit Risk Data Scientist, you need strong analytical skills, proficiency in statistical modeling, and a solid background in finance, mathematics, or a related field, often supported by an advanced degree. Familiarity with programming languages like Python or R, experience with machine learning frameworks, and knowledge of credit risk modeling tools such as SAS or SQL are typically required. Critical thinking, attention to detail, and effective communication are vital soft skills for interpreting data and collaborating with stakeholders. These abilities are crucial for building accurate risk models, informing strategic decisions, and ensuring regulatory compliance in financial institutions.
What job categories do people searching Credit Risk Data Science jobs in El Segundo, CA look for? The top searched job categories for Credit Risk Data Science jobs in El Segundo, CA are:
What cities near El Segundo, CA are hiring for Credit Risk Data Science jobs? Cities near El Segundo, CA with the most Credit Risk Data Science job openings:
Credit Risk Data Science jobs near you
Infographic showing various Credit Risk Data Science job openings in El Segundo, CA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $121,301 per year, or $58.3 per hour.

Data Science Schedule Analyst

Tecolote Research

El Segundo, CA • On-site

$80K - $90K/yr

Full-time

Re-posted 14 days ago

Job description

Overview
Support a program control team responsible for developing methodologies, tools, and models to help predict and optimize the schedules associated with current and future space system architectures including spacecraft, ground stations, and various support systems. This role involves working both independently and collaboratively on schedule data analysis using the Critical Path Method. The ideal team member will conduct analysis, collaborate with customer program management offices, document findings, present results, and help the team explore other tools and solutions to further Space Combat Power program management insight.
Responsibilities
  • Assess requirements, determine necessary resources to accomplish task, hypothesize solutions, develop solution, and report findings
  • Develop and maintain forecasting and risk models
  • Develop and maintain portfolios of data
  • Develop processes for data analysis
  • Communicate with various levels of Government leadership
  • Perform schedule analysis for U.S. government acquisition programs
  • Perform risk and uncertainty analysis
  • Collaborate with customers to understand their needs and provide tailored solutions
  • Train and mentor team members and other stakeholders on the use of developed models, tools, and solutions

Skills Required
  • 7 years relevant experience required, 1 year of space systems experience desired
  • Experience with Space Systems or U.S. Government acquisition processes a plus
  • Proficient data analytics skills: Identify specific examples of data exploration/analysis/presentation and the processes you used.
  • Proficient in MS Office Suite with an emphasis on MS Project, MS Excel
  • Python Experience a plus
  • Detailed, organized individual
  • Good communication, presentation, and visualization skills
  • Interest and ability to work in a dynamic work environment
  • Ability to perform projects independently, summarize results in a written report, and present to an audience
  • Department of Defense (DoD) Acquisition experience a plus
  • General familiarity with Cost and Earned Value Management a plus
  • U.S. citizenship required
  • Ability to obtain and maintain a Top-Secret security clearance
  • Salary Range: $80,000 - $90,000, DOE

Education
Bachelor's degree required, preferably in math, engineering, business, or the sciences.

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